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treeclimbR pinpoints the data-dependent resolution of hierarchical hypotheses
treeclimbR is for analyzing hierarchical trees of entities, such as phylogenies or cell types, at different resolutions. It proposes multiple candidates that capture the latent signal and pinpoints branches or leaves that contain features of interest, in a data-driven way. It outperforms currently a...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8127214/ https://www.ncbi.nlm.nih.gov/pubmed/34001188 http://dx.doi.org/10.1186/s13059-021-02368-1 |